decision support system - requirements - data source identification - modelling, process optimization
One of our customers is a major vehicle recovery company responsible for keeping road traffic flowing by efficiently recovering stalled or broken-down vehicles and clearing accident sites. At present, the assignment of available salvage teams to incidents relies on the planners’ own experience and judgment. While this approach often works well, it also introduces risks of delays, human error, and inconsistency, sometimes leading to less optimal incident response.
The company is interested in exploring a future decision support system that could help planners make faster, more consistent assignments. The idea is to eventually develop a system that considers a broad set of factors affecting the optimal dispatch decision—including the nature and severity of the incident, vehicle and equipment suitability, current workload, distance to scene, estimated arrival time, qualifications of available team members, and real-time factors such as traffic and weather conditions. With such support, assignment decisions would be more transparent and objective, minimizing both delays and the influence of personal biases.
For this assignment, your task will not be to implement the AI or automation itself, but to lay the groundwork for it. This involves analyzing the current manual assignment process and extracting the key decision criteria that planners use. We can help you contact the relevant stakeholders to gain insights into their workflows and decision-making approaches. Additionally, you will identify what data and information are necessary to support such decisions in an automated system, considering both technical and organizational aspects.
Additionally, you will model how the assignment process could be streamlined or structured to take advantage of future decision support technology, aiming for improved efficiency and reliability in handling incidents. The results of this assignment will help define clear requirements and a conceptual model to guide any future development of an AI-based decision support system within the company.
Get in touch with Martijn, founder of Bullit.
+31 6 39 56 09 34